CycleGuard

Author:

Jin Wenqiang1,Murali Srinivasan2,Cho Youngtak2,Zhu Huadi2,Li Tianhao2,Panik Rachael Thompson3,Rimu Anika2,Deb Shuchisnigdha2,Watkins Kari3,Yuan Xu4,Li Ming2

Affiliation:

1. Hunan University, Changsha, Hunan, China

2. The University of Texas at Arlington, Arlington, TX, USA

3. Georgia Institute of Technology, Atlanta, GA, USA

4. University of Louisiana at Lafayette, Lafayette, LA, USA

Abstract

Every year 41,000 cyclists die in road traffic-related incidents worldwide [47]. One of the most startling and infuriating conflicts that cyclists experience is the so-called "right hook". It refers to a vehicle striking a cyclist heading in the same direction by turning right into the cyclist. To prevent such a crash, this work presents CycleGuard, an acoustic-based collision detection system using smartphones. It is composed of a cheap commercial off-the-shelf (COTS) portable speaker that emits imperceptible high-frequency acoustic signals and a smartphone for reflected signal reception and analysis. Since received acoustic signals bear rich information of their reflecting objects, CycleGuard applies advanced acoustic ranging techniques to extract those information for traffic analysis. Cyclists are alerted if any pending right hook crashes are detected. Real-time alerts ensure that cyclists have sufficient time to react, apply brakes, and eventually avoid the hazard. To validate the efficacy of CycleGuard, we implement a proof-of-concept prototype and carry out extensive in-field experiments under a broad spectrum of settings. Results show that CycleGuard achieves up to 95% accuracy in preventing right hook crashes and is robust to various scenarios. It is also energy-friendly to run on battery-powered smartphones.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction

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